Mind the Skills Gap: Driving forward a data-driven culture in 2025
📅 Thursday 27th February 2025
⏰ Time: 6pm – 9.30pm
📍 The Garden Room Restaurant, Imperial College London
🍽️ Dinner
🎓 Hosted in partnership with Executive Education at Imperial College Business School, ranked the second university in the world (source: QS, 2025)
Join us for an exclusive event for senior leaders
As organisations become increasingly reliant on data to inform strategy and drive growth, HR and L&D leaders hold the keys to building a workforce ready to meet these challenges. But how can we bridge the data skills gap that’s limiting organisational potential?
Join us for Mind the Skills Gap: Driving Forward a Data-Driven Culture in 2025—an exclusive evening event designed for senior HR and L&D professionals. Through thought-provoking discussions and networking, we’ll explore practical strategies for embedding a data-driven culture that empowers teams and delivers measurable impact.
What to Expect:
- Welcome Drinks Reception: A relaxed opportunity to connect with peers and industry leaders.
- Keynote Session: Gain fresh insights into the role of HR and L&D in fostering a data-driven workforce.
- Dinner and Discussion: Share experiences and challenges over a seated meal in an intimate setting.
- Networking: Build meaningful connections with like-minded professionals.
Who will be there?
This event is tailored for HR and L&D leaders who are driving change in their organisations and want to address the pressing challenge of the data skills gap.
Spaces are limited to ensure a focused and engaging experience. Secure your spot today and be part of the conversation shaping the future of data-driven organisations.
Meet the speaker
Mark Kennedy is the director of the Data Science Institute (DSI) at Imperial College London, where he teaches Ph.D., Masters, and Executive courses. His research focuses on how innovations become social norms, examining their spread and societal impact. Mark‘s work spans fields like computing, science, business, and law, with a particular interest in using quantitative methods for text and network analysis.
His publications appear in top journals such as the Academy of Management Journal, American Sociological Review, and Organization Science. Currently, Mark is focused on several innovative projects including the evolution of AI and its impact on work, organisations, and society.
